Description Usage Arguments Details Value References Examples
This code calculate the change magnitude image for the Change Vector
Analysis in Posterior Probability Space (CVAPS) method of Chen et al. 2011.
Use the change magnitude image and use it in conjunction with the change
direction image from chg_dir
to map areas of change and no-change.
The threshold can be determined using DFPS
(to use the Double
Window Flexible Pace Search method, from Chen et al. 2003) or
threshold
(which uses an unsupervised method).
1 |
t1p |
time 0 posterior probability |
t2p |
time 1 posterior probability |
filename |
(optional) filename for output change magnitude
|
overwrite |
whether to overwrite existing files (otherwise an error will be raised) |
... |
additional parameters to pass to rasterEngine |
This function will run in parallel if a parallel backend is registered with
foreach
.
Raster*
object with change magnitude image
Chen, J., P. Gong, C. He, R. Pu, and P. Shi. 2003. Land-use/land-cover change detection using improved change-vector analysis. Photogrammetric Engineering and Remote Sensing 69:369-380.
Chen, J., X. Chen, X. Cui, and J. Chen. 2011. Change vector analysis in posterior probability space: a new method for land cover change detection. IEEE Geoscience and Remote Sensing Letters 8:317-321.
1 2 3 4 5 6 7 8 9 10 | ## Not run:
t0_train_data <- get_pixels(L5TSR_1986, L5TSR_1986_2001_training, "class_1986",training=.6)
t0_model <- train_classifier(t0_train_data)
t0_preds <- classify(L5TSR_1986, t0_model)
t1_train_data <- get_pixels(L5TSR_2001, L5TSR_1986_2001_training, "class_2001", training=.6)
t1_model <- train_classifier(t1_train_data)
t1_preds <- classify(L5TSR_2001, t1_model)
t0_t1_chgmag <- chg_mag(t0_preds$probs, t1_preds$probs)
## End(Not run)
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